Abstract

Anthocyanins are naturally occurring compounds that are responsible for a wide variety of colors in many plants, fruits and vegetables. In this study, the extraction of natural anthocyanins from Vietnamese Carissa carandas L. beverage was optimized using response surface methodology (RSM). We applied a Box–Behnken design consisting of three levels and three factors. Examined factors are extraction temperature (ranging from 40 to 60°C), liquid to solid ratio (ranging from 2:1 to 4:1), extraction time (ranging from 30 to 60 min). Using 60% ethanol as solvent for the process, we determined the maximum yields of anthocyanin was 273.786 mg/L. This yield corresponds to extraction conditions of 3:1 (v/w) liquid to solid ratio, temperature of 48.10 °C with a 44.08 min extraction time. The experimental results also fit well with the proposed response model of anthocyanin yield (R2 = 0.9992). Therefore, this study suggested optimization of different extraction methods for the defatted fruit parts.

Details

Title
Response surface methodology optimization for extraction of natural anthocyanins from Vietnamese Carissa carandas L. fruit
Author
Pham, Tri Nhut 1 ; Thi Ha Xuan Huynh 1 ; Tran, Thien Hien 2 ; Vo, Dai-Viet N 3 ; Tran, Quoc Toan 4 ; Lam, Tri Duc 5 ; Xuan Tien Le 6 ; Vu-Quang, Hieu 2 

 NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam; Faculty of Chemical Engineering and Food Technology, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam 
 NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam 
 Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang, Malaysia 
 Institute of Natural Products Chemistry, Vietnam Academy of Science and Technology, Ha Noi, Vietnam 
 NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam; Graduate School of Biotechnology, Kyung Hee University, South Korea 
 Department of Chemical Engineering, HCMC University of Technology, VNU-HCM, Ho Chi Minh City, Vietnam 
Publication year
2019
Publication date
Jul 2019
Publisher
IOP Publishing
ISSN
17578981
e-ISSN
1757899X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2561091997
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.